Luofeng Liao

Department of Industrial Engineering and Operations Research, Columbia University

Me at a graffiti laneway in Melbourne

Hi! My name is Luofeng Liao (廖烙锋 in Chinese) and I am a first-year phd student in the IEOR Department at Columbia.

My research interests are deep/machine learning methods for causal inference and econometrics, reinforcement learning with observational data, nonparametric statistics and adversarial/minimax optimization.

Prior to Columbia, I received my bachelor’s degree in computer science in Fudan University in China and a master’s degree in statistics in University of Chicago. In UChicago, I used to work with Prof. Mladen Kolar and Prof. Zhaoran Wang.


  1. preprint
    Local AdaGrad-Type Algorithm for Stochastic Convex-Concave Minimax Problems
    Luofeng Liao, Li Shen, Jia Duan, Mladen Kolar, and Dacheng Tao
  2. preprint
    Instrumental Variable Value Iteration for Causal Offline Reinforcement Learning
    Luofeng Liao, Zuyue Fu, Zhuoran Yang, Yixin Wang, Mladen Kolar, and Zhaoran Wang
  3. NeurIPS2020
    Provably efficient neural estimation of structural equation model: An adversarial approach
    Luofeng Liao, You-Lin Chen, Zhuoran Yang, Bo Dai, Zhaoran Wang, and Mladen Kolar